Record the third-party verification (gfx1100 / ROCm 6.4) from PR #205
Browse files
README.md
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@@ -109,6 +109,18 @@ reasoning prose 1.25–1.31x (48–58%). The pattern is the usual one: speculati
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`--spec-draft-n-max 2` vs `3` on a 3-prompt quick set: 82.4 vs 83.0 t/s total (acceptance 69.9% vs 59.0%).
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Roughly a wash; lower draft length favors repetitive text, higher favors code.
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### Long context (chat path, natural text, exact depths via /tokenize)
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| depth (tokens) | prefill t/s (MTP) | decode t/s (MTP) | acceptance | decode t/s (no spec) | MTP speedup |
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`--spec-draft-n-max 2` vs `3` on a 3-prompt quick set: 82.4 vs 83.0 t/s total (acceptance 69.9% vs 59.0%).
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Roughly a wash; lower draft length favors repetitive text, higher favors code.
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### Independent verification (third party)
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Both the failure and the fix were reproduced on entirely different hardware — **RDNA3 / ROCm 6.4 / Windows 11**
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(RX 7900 XTX, gfx1100) — reported on [PR #205](https://github.com/PrismML-Eng/llama.cpp/pull/205#issuecomment-5742011541):
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identical `latent lookup 'mtp_tok_embd-64'` failure without the patch, then **decode 41.6 -> 75.9 t/s (1.82x)** with
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it at **0.82 acceptance** and 2.64 tokens committed per round. On this machine (Ada/CUDA) the same fix gives
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~67 -> ~90 t/s (1.34x) at 0.68 aggregate acceptance.
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The multiples differ because the **baselines** differ: speculation pays more where the target decodes slower, since
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the draft's roughly fixed per-round cost is then a smaller fraction of a round. The depth sweep below shows the same
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effect along the context axis — decode falls 87 -> 35 t/s while acceptance rises 66% -> 84%.
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### Long context (chat path, natural text, exact depths via /tokenize)
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| depth (tokens) | prefill t/s (MTP) | decode t/s (MTP) | acceptance | decode t/s (no spec) | MTP speedup |
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